Legends:
Table 1:comparison between demographic and clinical data according to COVID19 test result.
Table 2:comparison between COVID19 positive and negative patients in; ABG, lympholytic count and some radiologic parameters
Table 3: Variables in the regression model.
Table 4: Four components of the score favoring the diagnosis of COVID19 positive patients if ≥5.
Table 5: showing the different parameters of the ROC analysis
Table 6: Variables associated with mortality in COVID19 positive patients.
Figure 1: ROC curve constructed to determine the cutoff value of the score with a sensitivity of 93.8% and a specificity of 58% in detecting COVID19 positive patients.